Search Results for author: Andrei Osiptsov

Found 3 papers, 0 papers with code

Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells

no code implementations12 Oct 2021 Ildar Abdrakhmanov, Evgenii Kanin, Sergei Boronin, Evgeny Burnaev, Andrei Osiptsov

We apply the transfer learning procedure to the transformer-based surrogate model, which includes the initial training on the dataset from a certain well and additional tuning of the model's weights on the dataset from a target well.

Time Series Analysis Transfer Learning

Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem

no code implementations2 Aug 2021 Viktor Duplyakov, Anton Morozov, Dmitriy Popkov, Egor Shel, Albert Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory Paderin

We developed a set of methods including those based on the use of Euclidean distance and clustering techniques to perform similar (offset) wells search, which is useful for a field engineer to analyze earlier fracturing treatments on similar wells.

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data

no code implementations23 May 2019 Evgenii Kanin, Andrei Osiptsov, Albert Vainshtein, Evgeny Burnaev

In order to extend the applicability and the accuracy of the existing accessible methods, a method of pressure drop calculation in the pipeline is proposed.

BIG-bench Machine Learning

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